code: def _get_taco_params(n_symbols):
      return {
          "mask_padding": False,
          "n_mels": 80,
          "n_frames_per_step": 1,
          "symbol_embedding_dim": 512,
          "encoder_embedding_dim": 512,
          "encoder_n_convolution": 3,
          "encoder_kernel_size": 5,
          "decoder_rnn_dim": 1024,
          "decoder_max_step": 2000,
          "decoder_dropout": 0.1,
          "decoder_early_stopping": True,
          "attention_rnn_dim": 1024,
          "attention_hidden_dim": 128,
          "attention_location_n_filter": 32,
          "attention_location_kernel_size": 31,
          "attention_dropout": 0.1,
          "prenet_dim": 256,
          "postnet_n_convolution": 5,
          "postnet_kernel_size": 5,
          "postnet_embedding_dim": 512,
          "gate_threshold": 0.5,
          "n_symbol": n_symbols,
      }
  
file_path: audio/src/torchaudio/pipelines/_tts/utils.py
imports: import logging
  import os
  import torch
  from torchaudio._internal import download_url_to_file, module_utils
label_desc: Use image node_id 6 for calling a global function with example usage: _get_taco_params(n_symbols) and returns: dict